A New Practical Method on Hydrological Calculation

  • Authors:
  • Lihua Feng;Xingcai Zhang

  • Affiliations:
  • Department of Geography, Zhejiang Normal University, Jinhua, China 321004;Department of Geography, Zhejiang Normal University, Jinhua, China 321004

  • Venue:
  • ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
  • Year:
  • 2009

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Abstract

Artificial Neural Networks (ANN) deal with information through interactions among neurons (or nodes), approximating the mapping between inputs and outputs based on non-linear functional composition. They have the advantages of self-learning, self-organizing, and self-adapting. It is practical to use ANN technology to carry out hydrologic calculations. To this end, this note has fundamentally set up a system of calculation and analysis based on ANN technology, given an example of application with good results. It shows that ANN technology is a relatively effective way of solving problems in hydrologic calculation.